PrincipalCurvaturesEstimation estimates the directions (eigenvectors) and magnitudes (eigenvalues) of principal surface curvatures for a given point cloud dataset containing points and normals. More...
#include <principal_curvatures.h>
Private Member Functions | |
| void | compute (pcl::PointCloud< pcl::Normal > &) |
| Make the compute (&PointCloudOut); inaccessible from outside the class. | |
| void | computeFeatureEigen (pcl::PointCloud< Eigen::MatrixXf > &output) |
| Estimate the principal curvature (eigenvector of the max eigenvalue), along with both the max (pc1) and min (pc2) eigenvalues for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () | |
Detailed Description
template<typename PointInT, typename PointNT>
class pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, Eigen::MatrixXf >
PrincipalCurvaturesEstimation estimates the directions (eigenvectors) and magnitudes (eigenvalues) of principal surface curvatures for a given point cloud dataset containing points and normals.
- Note:
- The code is stateful as we do not expect this class to be multicore parallelized. Please look at NormalEstimationOMP for an example on how to extend this to parallel implementations.
Definition at line 150 of file principal_curvatures.h.
Member Function Documentation
| void pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, Eigen::MatrixXf >::compute | ( | pcl::PointCloud< pcl::Normal > & | ) | [inline, private] |
Make the compute (&PointCloudOut); inaccessible from outside the class.
- Parameters:
-
[out] output the output point cloud
Definition at line 174 of file principal_curvatures.h.
| void pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, Eigen::MatrixXf >::computeFeatureEigen | ( | pcl::PointCloud< Eigen::MatrixXf > & | output | ) | [private, virtual] |
Estimate the principal curvature (eigenvector of the max eigenvalue), along with both the max (pc1) and min (pc2) eigenvalues for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()
- Parameters:
-
[out] output the resultant point cloud model dataset that contains the principal curvature estimates
Reimplemented from pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, pcl::PrincipalCurvatures >.
Definition at line 164 of file principal_curvatures.hpp.
The documentation for this class was generated from the following files: